Author

Shristi Bhattarai

Georgia State UniversityORCID 0000-0002-6639-057XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Fusheng WangiD· 2 shared George TeodoroiD· 2 shared Jun KongiD· 2 shared Ritu AnejaiD· 2 shared Emiel A. M. JansseniD· 1 shared Hongxiao LiiD· 1 shared Hongyi DuanmuiD· 1 shared Keerthi GogineniiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Fusheng WangORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Pathology InformaticsPeer-reviewedJan 1, 2023

Deep Learning Based Registration of Serial Whole-slide Histopathology Images in Different Stains

Mousumi Roy, Fusheng Wang, George Teodoro…·Jun Kong

This paper introduces CycGANRegNet, a deep learning method for registering serial WSIs in different stains, achieving better performance than existing methods on breast cancer patient data.

23 citations

humanimaging

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BioinformaticsBioinformaticsPeer-reviewedAug 13, 2022

A Spatial Attention Guided Deep Learning System for Prediction of Pathological Complete Response Using Breast Cancer Histopathology Images

Hongyi Duanmu, Shristi Bhattarai, Hongxiao Li…·Jun Kong

This paper develops a deep learning system to predict pathological complete response in TNBC patients using histopathology images and biomarkers, achieving 93% accuracy.

47 citations

humanimaging

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